Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept
by
Moll, Mark
, Devaurs, Didier
, Lizée, Gregory
, Antunes, Dinler A.
, Kavraki, Lydia E.
in
631/114/2411
/ 631/67/1059/2325
/ Cancer
/ Cell surface
/ Cell-mediated immunity
/ Humanities and Social Sciences
/ Immunotherapy
/ Infectious diseases
/ Lymphocytes T
/ Major histocompatibility complex
/ multidisciplinary
/ Peptides
/ Science
/ Science (multidisciplinary)
2018
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept
by
Moll, Mark
, Devaurs, Didier
, Lizée, Gregory
, Antunes, Dinler A.
, Kavraki, Lydia E.
in
631/114/2411
/ 631/67/1059/2325
/ Cancer
/ Cell surface
/ Cell-mediated immunity
/ Humanities and Social Sciences
/ Immunotherapy
/ Infectious diseases
/ Lymphocytes T
/ Major histocompatibility complex
/ multidisciplinary
/ Peptides
/ Science
/ Science (multidisciplinary)
2018
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept
by
Moll, Mark
, Devaurs, Didier
, Lizée, Gregory
, Antunes, Dinler A.
, Kavraki, Lydia E.
in
631/114/2411
/ 631/67/1059/2325
/ Cancer
/ Cell surface
/ Cell-mediated immunity
/ Humanities and Social Sciences
/ Immunotherapy
/ Infectious diseases
/ Lymphocytes T
/ Major histocompatibility complex
/ multidisciplinary
/ Peptides
/ Science
/ Science (multidisciplinary)
2018
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept
Journal Article
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept
2018
Request Book From Autostore
and Choose the Collection Method
Overview
The class I major histocompatibility complex (MHC) is capable of binding peptides derived from intracellular proteins and displaying them at the cell surface. The recognition of these peptide-MHC (pMHC) complexes by T-cells is the cornerstone of cellular immunity, enabling the elimination of infected or tumoral cells. T-cell-based immunotherapies against cancer, which leverage this mechanism, can greatly benefit from structural analyses of pMHC complexes. Several attempts have been made to use molecular docking for such analyses, but pMHC structure remains too challenging for even state-of-the-art docking tools. To overcome these limitations, we describe the use of an incremental meta-docking approach for structural prediction of pMHC complexes. Previous methods applied in this context used specific constraints to reduce the complexity of this prediction problem, at the expense of generality. Our strategy makes no assumption and can potentially be used to predict binding modes for any pMHC complex. Our method has been tested in a re-docking experiment, reproducing the binding modes of 25 pMHC complexes whose crystal structures are available. This study is a proof of concept that incremental docking strategies can lead to general geometry prediction of pMHC complexes, with potential applications for immunotherapy against cancer or infectious diseases.
Publisher
Nature Publishing Group UK,Nature Publishing Group
This website uses cookies to ensure you get the best experience on our website.